Semimartingales
Semimartingales is a stochastic process that generalizes both martingales and processes of finite variation, characterized as the largest class of integrators for which a consistent stochastic integration theory can be developed within the framework of continuous-time stochastic calculus.
740
Publications
48.6K
Citations
802
Authors
454
Institutions
Publications per year
2017–2026
60
Variants
Semimartingale
740
Markov Processes: Characterization and Convergence.
Andris Abakuks, S. N. Ethier, Thomas G. Kurtz · Biometrics · 1987 · 4.5K citations
Differential equations driven by rough signals
Terry Lyons · Revista Matemática Iberoamericana · 1998 · 1.1K citations · Full text
Affine processes and applications in finance
Darrell Duffie, Damir Filipović, Walter Schachermayer · The Annals of Applied Probability · 2003 · 1.1K citations · Full text
Engineering, Economics, Finance +17
1–5 of 740
802
12
h-index
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h-index
11
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École Nationale Supérieure de Techniques Avancées, France
14 publications · 506 citations
11
h-index
11
h-index
1–5 of 802
454
Columbia University
New York, United States
19 h-index
27 publications
2K citations

Centre National de la Recherche Scientifique
Paris, France
17 h-index
26 publications
1.3K citations
ETH Zurich
Zurich, Switzerland
16 h-index
28 publications
1.3K citations

Sorbonne Université
Paris, France
16 h-index
20 publications
1.8K citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
15 h-index
22 publications
9.3K citations

Aarhus University
Aarhus, Denmark
15 h-index
20 publications
1.4K citations
Université Paris Cité
Paris, France
14 h-index
26 publications
727 citations
École Polytechnique
Palaiseau, France
13 h-index
20 publications
1.1K citations
1–8 of 454
60 publications · 4.4K citations
34
h-index
59 publications · 3.5K citations
29
h-index
37 publications · 3.3K citations
24
h-index
28 publications · 1.8K citations
17
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18 publications · 1.7K citations
17
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